
import os

import numpy
import onnx




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     List[str]		,    _lowerCamelCase					:     Union[str, Any])   ->       Any:






							'''simple docstring'''





							__UpperCamelCase      :  Any       =   a.name
							__UpperCamelCase      :  str       =   b.name

							__UpperCamelCase      :  Optional[Any]       =   ""
							__UpperCamelCase      :  Optional[Any]       =   ""

							__UpperCamelCase      :  int       =   a == b

							__UpperCamelCase      :  List[str]       =   name_a
							__UpperCamelCase      :  int       =   name_b

							return res




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Any		,    _lowerCamelCase					:     List[Any]		,    _lowerCamelCase					:     Optional[Any])   ->       Optional[int]:






							'''simple docstring'''





							for i, input_name in enumerate(node_proto.input):
														if input_name == name:
																					node_proto.input.insert(_lowerCamelCase		,    _lowerCamelCase)
																					node_proto.input.pop(i + 1)

							if node_proto.op_type == "If":
														_graph_replace_input_with(node_proto.attribute[0].g		,    _lowerCamelCase		,    _lowerCamelCase)
														_graph_replace_input_with(node_proto.attribute[1].g		,    _lowerCamelCase		,    _lowerCamelCase)
							if node_proto.op_type == "Loop":
														_graph_replace_input_with(node_proto.attribute[0].g		,    _lowerCamelCase		,    _lowerCamelCase)




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     int		,    _lowerCamelCase					:     Tuple		,    _lowerCamelCase					:     Optional[Any])   ->       List[str]:






							'''simple docstring'''





							for n in graph_proto.node:
														_node_replace_input_with(_lowerCamelCase		,    _lowerCamelCase		,    _lowerCamelCase)




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Optional[int]		,    _lowerCamelCase					:     Union[str, Any]		,    _lowerCamelCase					:     Union[str, Any])   ->       List[str]:






							'''simple docstring'''





							__UpperCamelCase      :  Any       =   list(model.graph.initializer)
							__UpperCamelCase      :  Optional[int]       =   list(model_without_ext.graph.initializer)
							for i, ref_i in ind_to_replace:
														assert inits_with_data[i].name == inits[i].name
														assert inits_with_data[ref_i].name == inits[ref_i].name
														assert i > ref_i

														__UpperCamelCase      :  int       =   inits[i].name
														__UpperCamelCase      :  List[Any]       =   inits[ref_i].name

														model_without_ext.graph.initializer.remove(inits[i])

														# for n in model.graph.node:
														_graph_replace_input_with(model_without_ext.graph		,    _lowerCamelCase		,    _lowerCamelCase)




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     List[str])   ->       Optional[int]:






							'''simple docstring'''





							__UpperCamelCase      :  int       =   os.path.dirname(_lowerCamelCase)
							__UpperCamelCase      :  Dict       =   os.path.basename(_lowerCamelCase)

							__UpperCamelCase      :  Any       =   onnx.load(os.path.join(_lowerCamelCase		,    _lowerCamelCase))

							__UpperCamelCase      :  Tuple       =   list(model.graph.initializer)

							__UpperCamelCase      :  str       =   set()
							__UpperCamelCase      :  Optional[int]       =   {}
							__UpperCamelCase      :  int       =   []

							__UpperCamelCase      :  List[Any]       =   0

							for i in range(len(_lowerCamelCase)):
														if i in dup_set:
																					continue

														for j in range(i + 1		,    len(_lowerCamelCase)):
																					if j in dup_set:
																												continue
																					if _is_equal_tensor_proto(inits[i]		,    inits[j]):
																												dup_set.add(_lowerCamelCase)
																												dup_set.add(_lowerCamelCase)

																												__UpperCamelCase      :  Any       =   inits[j].data_type
																												__UpperCamelCase      :  int       =   numpy.prod(inits[j].dims)
																												if dtype == 1:
																																			mem_size *= 4
																												elif dtype == 6:
																																			mem_size *= 4
																												elif dtype == 7 or dtype == 11:
																																			mem_size *= 8
																												else:
																																			print("unexpected data type: "		,    _lowerCamelCase)
																												total_reduced_size += mem_size

																												__UpperCamelCase      :  Any       =   inits[i].name
																												__UpperCamelCase      :  Optional[Any]       =   inits[j].name

																												if name_i in dup_map:
																																			dup_map[name_i].append(_lowerCamelCase)
																												else:
																																			__UpperCamelCase      :  Union[str, Any]       =   [name_j]
																												ind_to_replace.append((j, i))

							print("total reduced size: "		,    total_reduced_size / 1_024 / 1_024 / 1_024		,    "GB")

							__UpperCamelCase      :  Any       =   sorted(_lowerCamelCase)
							_remove_dup_initializers_from_model(_lowerCamelCase		,    _lowerCamelCase		,    _lowerCamelCase)

							__UpperCamelCase      :  str       =   "optimized_" + model_file_name
							__UpperCamelCase      :  Optional[Any]       =   os.path.join(_lowerCamelCase		,    _lowerCamelCase)
							onnx.save(_lowerCamelCase		,    _lowerCamelCase)

							return new_model

import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


lowercase    :   Tuple						=			logging.getLogger(__name__)




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:Dict	,  a						:Union[str, Any]=-1		)						->					List[str]:
								# in NER datasets, the last column is usually reserved for NER label
								__UpperCamelCase      :  str       =   label_idx







	def   _lowerCamelCase							(   self						:str	,  a						:Tuple	,  a						:Union[Split, str]		)						->					List[InputExample]:
								if isinstance(a	,  a		):
															__UpperCamelCase      :  Dict       =   mode.value
								__UpperCamelCase      :  Union[str, Any]       =   os.path.join(a	,  f'{mode}.txt'		)
								__UpperCamelCase      :  Any       =   1
								__UpperCamelCase      :  List[str]       =   []
								with open(a	,  encoding="utf-8"		) as f:
															__UpperCamelCase      :  Tuple       =   []
															__UpperCamelCase      :  Dict       =   []
															for line in f:
																						if line.startswith("-DOCSTART-"		) or line == "" or line == "\n":
																													if words:
																																				examples.append(InputExample(guid=f'{mode}-{guid_index}'	,  words=a	,  labels=a		)		)
																																				guid_index += 1
																																				__UpperCamelCase      :  Dict       =   []
																																				__UpperCamelCase      :  List[str]       =   []
																						else:
																													__UpperCamelCase      :  Union[str, Any]       =   line.split(" "		)
																													words.append(splits[0]		)
																													if len(a		) > 1:
																																				labels.append(splits[self.label_idx].replace("\n"	,  ""		)		)
																													else:
																																				# Examples could have no label for mode = "test"
																																				labels.append("O"		)
															if words:
																						examples.append(InputExample(guid=f'{mode}-{guid_index}'	,  words=a	,  labels=a		)		)
								return examples







	def   _lowerCamelCase							(   self						:int	,  a						:TextIO	,  a						:TextIO	,  a						:List		)						->					Optional[Any]:
								__UpperCamelCase      :  Tuple       =   0
								for line in test_input_reader:
															if line.startswith("-DOCSTART-"		) or line == "" or line == "\n":
																						writer.write(a		)
																						if not preds_list[example_id]:
																													example_id += 1
															elif preds_list[example_id]:
																						__UpperCamelCase      :  Union[str, Any]       =   line.split()[0] + " " + preds_list[example_id].pop(0		) + "\n"
																						writer.write(a		)
															else:
																						logger.warning("Maximum sequence length exceeded: No prediction for '%s'."	,  line.split()[0]		)







	def   _lowerCamelCase							(   self						:Tuple	,  a						:str		)						->					List[str]:
								if path:
															with open(a	,  "r"		) as f:
																						__UpperCamelCase      :  List[str]       =   f.read().splitlines()
															if "O" not in labels:
																						__UpperCamelCase      :  Any       =   ["O"] + labels
															return labels
								else:
															return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:List[str]		)						->					int:
								# in CONLL2003 dataset chunk column is second-to-last
								super().__init__(label_idx=-2		)







	def   _lowerCamelCase							(   self						:List[str]	,  a						:str		)						->					List[str]:
								if path:
															with open(a	,  "r"		) as f:
																						__UpperCamelCase      :  Optional[Any]       =   f.read().splitlines()
															if "O" not in labels:
																						__UpperCamelCase      :  int       =   ["O"] + labels
															return labels
								else:
															return [
															    "O",
															    "B-ADVP",
															    "B-INTJ",
															    "B-LST",
															    "B-PRT",
															    "B-NP",
															    "B-SBAR",
															    "B-VP",
															    "B-ADJP",
															    "B-CONJP",
															    "B-PP",
															    "I-ADVP",
															    "I-INTJ",
															    "I-LST",
															    "I-PRT",
															    "I-NP",
															    "I-SBAR",
															    "I-VP",
															    "I-ADJP",
															    "I-CONJP",
															    "I-PP",
															]




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def   _lowerCamelCase							(   self						:List[str]	,  a						:Union[str, Any]	,  a						:Union[Split, str]		)						->					List[InputExample]:
								if isinstance(a	,  a		):
															__UpperCamelCase      :  Optional[Any]       =   mode.value
								__UpperCamelCase      :  List[str]       =   os.path.join(a	,  f'{mode}.txt'		)
								__UpperCamelCase      :  Dict       =   1
								__UpperCamelCase      :  List[str]       =   []

								with open(a	,  encoding="utf-8"		) as f:
															for sentence in parse_incr(a		):
																						__UpperCamelCase      :  Optional[int]       =   []
																						__UpperCamelCase      :  int       =   []
																						for token in sentence:
																													words.append(token["form"]		)
																													labels.append(token["upos"]		)
																						assert len(a		) == len(a		)
																						if words:
																													examples.append(InputExample(guid=f'{mode}-{guid_index}'	,  words=a	,  labels=a		)		)
																													guid_index += 1
								return examples







	def   _lowerCamelCase							(   self						:List[Any]	,  a						:TextIO	,  a						:TextIO	,  a						:List		)						->					str:
								__UpperCamelCase      :  List[Any]       =   0
								for sentence in parse_incr(a		):
															__UpperCamelCase      :  Tuple       =   preds_list[example_id]
															__UpperCamelCase      :  Dict       =   ""
															for token in sentence:
																						out += f'{token["form"]} ({token["upos"]}|{s_p.pop(0		)}) '
															out += "\n"
															writer.write(a		)
															example_id += 1







	def   _lowerCamelCase							(   self						:List[str]	,  a						:str		)						->					List[str]:
								if path:
															with open(a	,  "r"		) as f:
																						return f.read().splitlines()
								else:
															return [
															    "ADJ",
															    "ADP",
															    "ADV",
															    "AUX",
															    "CCONJ",
															    "DET",
															    "INTJ",
															    "NOUN",
															    "NUM",
															    "PART",
															    "PRON",
															    "PROPN",
															    "PUNCT",
															    "SCONJ",
															    "SYM",
															    "VERB",
															    "X",
															]